Probing subglass relaxation in polymers via a geometric representation of probabilities, observables, and relaxation modes for discrete stochastic systems

Georgios C. Boulougouris; Doros N. Theodorou

doi:10.1063/1.3063118

Probing subglass relaxation in polymers via a geometric representation of probabilities, observables, and relaxation modes for discrete stochastic systems

The Journal of Chemical Physics ◽

10.1063/1.3063118 ◽

2009 ◽

Vol 130 (4) ◽

pp. 044905 ◽

Cited By ~ 13

Author(s):

Georgios C. Boulougouris ◽

Doros N. Theodorou

Keyword(s):

Stochastic Systems ◽

Geometric Representation ◽

Relaxation Modes

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Quantum probability distributions in the early Universe. III. A geometric representation of stochastic systems

Physical Review D ◽

10.1103/physrevd.38.1802 ◽

1988 ◽

Vol 38 (6) ◽

pp. 1802-1808 ◽

Cited By ~ 10

Author(s):

F. R. Graziani

Keyword(s):

Early Universe ◽

Stochastic Systems ◽

Probability Distributions ◽

Quantum Probability ◽

Geometric Representation

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GIS and geometric representation in facility location problems

International Journal of Geographical Information Systems ◽

10.1080/026937996137729 ◽

1996 ◽

Vol 10 (7) ◽

pp. 791-816

Author(s):

Harvey J. Miller

Keyword(s):

Facility Location ◽

Location Problems ◽

Geometric Representation ◽

Facility Location Problems

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Optimization of Stochastic Systems: Topics in Discrete-Time Systems

10.1016/s0076-5392(08)x6117-x ◽

1967 ◽

Keyword(s):

Discrete Time ◽

Stochastic Systems ◽

Discrete Time Systems ◽

Time Systems

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DECOMPOSITION OF NONLINEAR DISCRETE-TIME STOCHASTIC SYSTEMS

Acta Mathematica Scientia ◽

10.1016/s0252-9602(18)30541-1 ◽

1985 ◽

Vol 5 (4) ◽

pp. 399-413

Author(s):

Chongzhao Han

Keyword(s):

Discrete Time ◽

Stochastic Systems

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Modern methods for the statistical description of dynamic stochastic systems

Uspekhi Fizicheskih Nauk ◽

10.3367/ufnr.0179.200905j.0547 ◽

2009 ◽

Vol 179 (5) ◽

pp. 547 ◽

Cited By ~ 6

Author(s):

Valerii I. Klyatskin

Keyword(s):

Stochastic Systems ◽

Modern Methods ◽

Dynamic Stochastic

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Application of Approximation Methods of Iterated Stratonovich and Ito Stochastic Integrals to Numerical Simulation of Controlled Stochastic Systems

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v31.i10.100 ◽

1999 ◽

Vol 31 (10) ◽

pp. 70-83

Author(s):

Dmitriy F. Kuznetsov

Keyword(s):

Numerical Simulation ◽

Stochastic Systems ◽

Stochastic Integrals ◽

Approximation Methods

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Stabilization of Stochastic Diffusive Dynamical Systems with Impulse Markov Switchings and Parameters. Part I. Stability of Impulse Stochastic Systems with Markov Parameters

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v41.i2.10 ◽

2009 ◽

Vol 41 (2) ◽

pp. 1-24 ◽

Cited By ~ 4

Author(s):

Taras O. Lukashiv ◽

Vladimir K. Yasinskiy ◽

Evgeniy V. Yasinskiy

Keyword(s):

Dynamical Systems ◽

Stochastic Systems ◽

Markov Parameters

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Case Studies in Direct Digital Control of Stochastic Systems

10.23919/acc.1982.4787804 ◽

1982 ◽

Author(s):

O.L.R. Jacobs

Keyword(s):

Case Studies ◽

Digital Control ◽

Stochastic Systems ◽

Direct Digital Control

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Adaptive Control and Cost Sensitivity of Stochastic Systems with Continuous State and Parameters, and Logical Controls

1991 American Control Conference ◽

10.23919/acc.1991.4791482 ◽

1991 ◽

Author(s):

Steven I. Marcus ◽

Emmanuel Fernandez-Gaucherand ◽

Aristotle Arapostathis

Keyword(s):

Adaptive Control ◽

Stochastic Systems ◽

Continuous State ◽

Cost Sensitivity

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Mean Square Stabilizability of a Class of Nonlinear Stochastic Systems

10.23919/acc.1989.4790625 ◽

1989 ◽

Author(s):

Engin Yaz

Keyword(s):

Stochastic Systems ◽

Mean Square ◽

Nonlinear Stochastic Systems

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